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PiLabZJU
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Model Details
Model Provider
PiLabZJU
Model Tree
Qwen/Qwen2.5-7B-Instruct
Input Modalities
Output Modalities
Supported Functionality
The original training run loaded the base model from
<local-model-root>/Qwen2.5-7B-Instruct. The exact Hugging Face commit was not
recorded in the training artifacts and must be confirmed from that server-side
base-model directory before release. Do not claim a commit until it has been
verified.
Tokenizer: use the tokenizer from the same base-model revision.
LLaMA-Factory template: qwen.
q_proj, k_proj, v_proj, o_proj, gate_proj,
up_proj, and down_projpython
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizerbase_model = "Qwen/Qwen2.5-7B-Instruct"adapter_dir = "path/to/adapter"model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype="auto")model = PeftModel.from_pretrained(model, adapter_dir)tokenizer = AutoTokenizer.from_pretrained(base_model)
To create a merged model, call model.merge_and_unload() and then
save_pretrained(). Distribution and use remain subject to the base model,
dataset, and original survey-source licenses.